Instructions to use karths/binary_classification_train_documentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_documentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_documentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_documentation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_documentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": [ | |
| 0.8839922332569391, | |
| 0.929331657571949, | |
| 0.9606142267153541, | |
| 0.984714516412708, | |
| 0.9910204081632653 | |
| ], | |
| "recall": [ | |
| 0.8904689378757515, | |
| 0.9365130260521042, | |
| 0.9658351236091961, | |
| 0.987382563247507, | |
| 0.9926251322666496 | |
| ], | |
| "f1": [ | |
| 0.8872187657239611, | |
| 0.9329085217835698, | |
| 0.9632176005500173, | |
| 0.9860467350320612, | |
| 0.9918221211223158 | |
| ], | |
| "auc": [ | |
| 0.9530052709250063, | |
| 0.978424451662564, | |
| 0.9917985101138621, | |
| 0.99819516351748, | |
| 0.9993313443607119 | |
| ], | |
| "acc": [ | |
| 0.8869017107708079, | |
| 0.9327064778624976, | |
| 0.963149253133635, | |
| 0.9860398061751632, | |
| 0.991822514116375 | |
| ], | |
| "mcc": [ | |
| 0.7738253985011632, | |
| 0.8654395363812596, | |
| 0.9263124527374313, | |
| 0.9720832186237331, | |
| 0.9836463262560167 | |
| ] | |
| } |